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DNS Tunnel Detection Tool
Why Choose This Project
DNS tunneling is a common technique used by attackers to exfiltrate sensitive data or establish command-and-control channels through the DNS protocol, often bypassing traditional security measures. Detecting such malicious activity manually is challenging due to the high volume of normal DNS traffic. This project provides a web-based tool to monitor, analyze, and detect potential DNS tunnels, helping organizations protect sensitive data and network integrity in real time.
What You Get
A platform for network administrators and security analysts to monitor DNS traffic, identify anomalies indicative of tunneling, and generate detailed reports. Suspicious domains, excessive query patterns, or unusual payloads are flagged automatically. Alerts can be sent via email/SMS, and logs are maintained for forensic analysis and compliance.
Key Features
| Feature | Description |
|---|---|
| User Authentication | Secure login for admins and analysts |
| DNS Traffic Capture | Monitor incoming/outgoing DNS queries in real-time |
| Anomaly Detection | Detect unusual query lengths, high entropy payloads, or repeated queries indicative of DNS tunneling |
| Suspicious Domain Analysis | Flag domains with abnormal patterns or known malicious activity |
| Risk Scoring | Assign severity levels (low, medium, high) to suspected DNS tunnels |
| Alerts & Notifications | Real-time alerts via email or SMS for high-risk events |
| Dashboard Visualization | Visualize DNS query trends, suspicious activity, and traffic heatmaps |
| Reporting Module | Generate detailed logs and reports for compliance and auditing |
| API Integration | Optional integration with SIEM or other monitoring tools |
| Audit Logs | Track all analysis results, alerts, and admin actions |
Technology Stack
| Layer | Technology |
|---|---|
| Frontend Layer | HTML, CSS, JavaScript, Bootstrap for responsive UI |
| Backend Layer | Node.js (Express) / Python Flask / Java Spring Boot |
| Database Layer | MongoDB / MySQL / PostgreSQL for storing DNS logs and analysis results |
| Network Analysis Layer | Scapy (Python), DNS packet capture libraries, regex/entropy analysis |
| Security Layer | HTTPS, JWT / OAuth2 for authentication and role-based access |
| Optional Libraries & APIs | Email/SMS API for alerts, Graph/Chart libraries (D3.js/Chart.js) for visualization |
Working Flow
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DNS Traffic Monitoring – Capture DNS queries and responses in real time from network interfaces.
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Data Preprocessing – Normalize query data and extract relevant fields such as domain, payload length, frequency, and entropy.
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Anomaly Detection – Apply statistical analysis or ML models to identify patterns indicative of tunneling.
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Risk Scoring – Assign risk levels based on query characteristics, known malicious domains, or frequency thresholds.
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Alerts & Notification – Trigger real-time alerts for high-risk DNS tunneling activity.
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Dashboard & Reporting – Display DNS traffic trends, anomalies, and risk scores visually on a dashboard.
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Audit Logging – Maintain records of captured traffic, flagged events, and admin actions for compliance and forensic review.
Main Modules
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Authentication Module → Secure admin and analyst login
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Traffic Capture Module → Monitor and store DNS queries and responses
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Analysis Engine → Detect anomalous patterns, high-entropy payloads, or repeated queries
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Risk Scoring Module → Evaluate severity of detected DNS tunnel attempts
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Alert Module → Notify admins of high-risk or suspicious events
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Dashboard Module → Visualize DNS traffic, trends, and anomaly detection results
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Reporting Module → Generate detailed logs and compliance reports
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API Module → Optional integration with external monitoring tools
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Audit Module → Maintain complete logs for accountability and analysis
Security Features
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HTTPS-secured portal and API endpoints
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JWT/OAuth2 authentication for secure access
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Role-based access control for sensitive modules
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Encrypted storage of DNS logs and anomaly reports
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Real-time alerts to prevent data exfiltration through DNS tunnels
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Audit logs for tracking actions, detections, and responses